TY - JOUR

T1 - Mesoscale elements description of turbulent flow

AU - Burluka, Alexey

PY - 2020/1/1

Y1 - 2020/1/1

N2 - This work proposes to describe a turbulent flow using a set of mesoscale elements, that is fluid elements of small, but finite, size the properties of which are representative of larger region surrounding them. Consideration of the fluid elements of finite dimensions allows one to formulate a small scale mixing model with an explicit dependency on the molecular transport coefficients. The dimensions of a mesoscale element are determined from an evolution equation accounting for the molecular diffusion and the strain rate induced by small-scale turbulence while its position is determined by convection by large-scale velocity components. In addition to consideration of the fluid elements of a finite size, the second key new concept is the notion of radius of influence over which such an element contributes to the statistics of the flow; this radius grows with time. It is shown that the proposed method satisfies the mass conservation and normalisation of the probability density functions of scalar quantities. The proposed method is illustrated with simulations of thermal mixing layer in grid turbulence.

AB - This work proposes to describe a turbulent flow using a set of mesoscale elements, that is fluid elements of small, but finite, size the properties of which are representative of larger region surrounding them. Consideration of the fluid elements of finite dimensions allows one to formulate a small scale mixing model with an explicit dependency on the molecular transport coefficients. The dimensions of a mesoscale element are determined from an evolution equation accounting for the molecular diffusion and the strain rate induced by small-scale turbulence while its position is determined by convection by large-scale velocity components. In addition to consideration of the fluid elements of a finite size, the second key new concept is the notion of radius of influence over which such an element contributes to the statistics of the flow; this radius grows with time. It is shown that the proposed method satisfies the mass conservation and normalisation of the probability density functions of scalar quantities. The proposed method is illustrated with simulations of thermal mixing layer in grid turbulence.

KW - Turbulent mixing

KW - Lagrangian description

KW - Molecular transport

KW - Coarse-grained formulation

KW - Turbulence modelling

KW - Turbulent Flows

U2 - 10.1016/j.apm.2019.07.042

DO - 10.1016/j.apm.2019.07.042

M3 - Article

SN - 0307-904X

VL - 77

SP - 491

EP - 505

JO - Applied Mathematical Modelling

JF - Applied Mathematical Modelling

IS - Part 1

ER -